Big data and climate change
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Transcript of Big data and climate change
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Big data and climate change:Big words or big opportunity?Innovative approaches to disseminating CSA practices and advisories
Jacob van Etten
Theme leader Climate Change Adaptation
9th April 2014
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1. Big data, what is it?
2. Big words only?
3. What about CCAFS?
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Social data / crowdsourcing
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Bioinformatics
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Data journalism
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A movie passes the Bechdel Test if women that are named have at least one conversation that is not about a man.
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Crowdsourcing
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In summary
• ICT generate more and more data
• Data are going social
• Big Data is about “repurposing” in many different ways
• Dumb force of big n obviates precision, long waits and big
$
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Big words only?
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Gartner’s hype cycle
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Where is Big Data on the curve?
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In summary
• Many caveats apply
• Big Data is on the Peak of Inflated Expectations
• There is a Plateau of Productivity ahead!
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What about CCAFS?
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Historical data
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Big data illusions
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Sensors
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Site-specific agriculture (CIAT)
+ + =
Climate Soil Crop management Productivity
% ? + % ? + % ? = To Explain (100 %)
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Citizen science
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Nifty statistics: Bradley-Terry model with recursive partitioning
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4. Farmers test and report back by mobile phone
2. Each farmer gets a different combination of varieties
3. Environmental data (GPS, sensors) to assess adaptation
1. A broad set of varieties is evaluated
6. Detect demand for new varieties and traits
5. Farmers receive tailored variety recommendations and can order seeds
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Crowdsourcing Monitoring and Evaluation?
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In conclusion…
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but some work is required to get it
out of the ground
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Big data session
Two micro-presentations
•Participatory modelling with historical crop data (Dieudonne
Harahagazwe, CIP)
•Big data to optimize agricultural systems through location-specific
advise (Daniel Jiménez, CIAT)
Group discussion
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Thank you!